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Mendeley readers
Attention Score in Context
| Title |
A personal view of the early development of computational neuroscience in the USA
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2010
|
| DOI | 10.3389/fncom.2010.00020 |
| Pubmed ID | |
| Authors |
Moore |
| Abstract |
In the half-century since the seminal Hodgkin-Huxley papers were published, computational neuroscience has become an established discipline, evolving from computer modeling of neurons to attempts to understand the computational functions of the brain. Here, I narrate my experience of the early steps and sense of excitement in this field, with its promise of rapid development, paralleling that of computers. |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 8% |
| Germany | 2 | 3% |
| Brazil | 2 | 3% |
| United Kingdom | 2 | 3% |
| Sweden | 1 | 1% |
| Spain | 1 | 1% |
| Estonia | 1 | 1% |
| Unknown | 56 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Researcher | 11 | 15% |
| Professor > Associate Professor | 8 | 11% |
| Professor | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Other | 21 | 30% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 30% |
| Engineering | 9 | 13% |
| Neuroscience | 7 | 10% |
| Computer Science | 6 | 8% |
| Psychology | 5 | 7% |
| Other | 14 | 20% |
| Unknown | 9 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2014.
All research outputs
#2,449,573
of 22,705,019 outputs
Outputs from Frontiers in Computational Neuroscience
#99
of 1,336 outputs
Outputs of similar age
#12,647
of 163,605 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 14 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 163,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.